infi.clickhouse_orm | Python library for working with the ClickHouse database | Database library
kandi X-RAY | infi.clickhouse_orm Summary
kandi X-RAY | infi.clickhouse_orm Summary
infi.clickhouse_orm is a Python library typically used in Database applications. infi.clickhouse_orm has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However infi.clickhouse_orm build file is not available. You can install using 'pip install infi.clickhouse_orm' or download it from GitHub, PyPI.
This project is simple ORM for working with the [ClickHouse database] It allows you to define model classes whose instances can be written to the database and read from it.
This project is simple ORM for working with the [ClickHouse database] It allows you to define model classes whose instances can be written to the database and read from it.
Support
Quality
Security
License
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Support
infi.clickhouse_orm has a low active ecosystem.
It has 379 star(s) with 126 fork(s). There are 32 watchers for this library.
It had no major release in the last 6 months.
There are 37 open issues and 87 have been closed. On average issues are closed in 227 days. There are 18 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of infi.clickhouse_orm is v2.1.3
Quality
infi.clickhouse_orm has 0 bugs and 0 code smells.
Security
infi.clickhouse_orm has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
infi.clickhouse_orm code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
infi.clickhouse_orm is licensed under the BSD-3-Clause License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
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infi.clickhouse_orm releases are not available. You will need to build from source code and install.
Deployable package is available in PyPI.
infi.clickhouse_orm has no build file. You will be need to create the build yourself to build the component from source.
Installation instructions are not available. Examples and code snippets are available.
It has 7268 lines of code, 1020 functions and 77 files.
It has medium code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed infi.clickhouse_orm and discovered the below as its top functions. This is intended to give you an instant insight into infi.clickhouse_orm implemented functionality, and help decide if they suit your requirements.
- Alters the table
- Build the query params
- Send data to database
- Execute a SELECT query
- Insert models into the database
- Checks if the class has functions as defaults
- True if the model is read - only
- Paginate a model instance
- Count the number of records in the table
- Download an ebook
- Gets the sql for the database
- Returns the SQL statement for the table
- Extract the code and message from the given error message
- Get the active system part
- Return a UUID instance
- Generate the SQL statement for a table
- Get all the words in a file
- Render the homepage page
- Convert a field value to a WHERE clause
- Fetches a partition operation
- Alters the model
- Alters the index
- Add a new function
- Render a table
- Return a paginated list of objects
- Convert value to python type
Get all kandi verified functions for this library.
infi.clickhouse_orm Key Features
No Key Features are available at this moment for infi.clickhouse_orm.
infi.clickhouse_orm Examples and Code Snippets
No Code Snippets are available at this moment for infi.clickhouse_orm.
Community Discussions
Trending Discussions on infi.clickhouse_orm
QUESTION
how can fix the error that open_price equal to close_price when resample data by clickhouse time function?
Asked 2020-Aug-26 at 05:32
query_sql = f"""
WITH
toDateTime('{start.date()} 21:00:00') AS StartTimestamp,
toDateTime('{end_date} 15:00:00') AS EndTimestamp
SELECT
local_symbol,
max(last_price) AS high_price,
min(last_price) AS low_price,
argMax(last_price, toUnixTimestamp(fast)) as close_price ,
argMin(last_price, toUnixTimestamp(fast)) as open_price,
sum(volume) AS volume,
sum(amount) AS amount
FROM tick
WHERE (datetime >= StartTimestamp) AND (datetime <= EndTimestamp) AND local_symbol='{symbol}'
-- GROUP BY toStartOfInterval(datetime, INTERVAL {n} minute ) as fast,local_symbol
GROUP BY toStartOfMinute(datetime) as fast,local_symbol
ORDER BY fast ASC
"""
...ANSWER
Answered 2020-Aug-26 at 05:32I have resolved it by using argMin(last_price, toUnixTimestamp(datetime)) as open_price
,
QUESTION
Error creating partition key using MergeTree engine, Clickhouse
Asked 2020-Jul-22 at 09:58
I've been trying to create model using infi.clickhouse_orm but there have been an issue with partition key
My model:
...ANSWER
Answered 2020-Jul-22 at 09:58The MergeTree-engine required the primary key in the table declaration that passed in order_by-parameter:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install infi.clickhouse_orm
You can install using 'pip install infi.clickhouse_orm' or download it from GitHub, PyPI.
You can use infi.clickhouse_orm like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
You can use infi.clickhouse_orm like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
Support
For any new features, suggestions and bugs create an issue on GitHub.
If you have any questions check and ask questions on community page Stack Overflow .
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